Machine Learning Engineer, Ads
WFA Digital Insight
The demand for skilled machine learning engineers in the digital advertising space has skyrocketed, with a growth rate of over 25% in the last two years. As remote work becomes the norm, companies like Reddit are leading the charge in hiring top talent worldwide. With over 100,000 active communities and 121 million daily active users, Reddit offers a unique environment for machine learning engineers to make a real impact. Candidates should be prepared to showcase their expertise in machine learning, ads measurement, and privacy compliance. Before applying, it's essential to understand the current market landscape and the skills in high demand, such as proficiency in Python, TensorFlow, and scikit-learn.
Job Description
About the Role
Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. As a Machine Learning Engineer, Ads, you will be part of a horizontal ML team in the Ads Measurement org that works on proving the value of Reddit Ads to advertisers while ensuring privacy compliance. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design, develop, and deploy machine learning models that drive ad performance and revenue growth.The Ads Measurement Modeling Team addresses challenges in signals, privacy, and identity, including Modeled Identity, Modeled Conversions, and enhancements for ATT opt-out utility. You will have the opportunity to work on projects that span offline and online retrieval systems, enhancing contextual and behavioral targeting to help advertisers reach the most relevant audiences.
What You Will Do
- Design, develop, and deploy machine learning models to drive ad performance and revenue growth
- Collaborate with cross-functional teams to identify opportunities for machine learning applications in ads measurement
- Develop and maintain large-scale machine learning systems to improve targeting products
- Work on projects that address challenges in signals, privacy, and identity
- Enhance contextual and behavioral targeting to help advertisers reach the most relevant audiences
- Develop and maintain tools to measure ad performance and revenue growth
- Collaborate with data science teams to develop and implement new ad measurement models
- Work with engineering teams to integrate machine learning models into the ad serving pipeline
- Develop and maintain documentation for machine learning models and systems
What We Are Looking For
- 3+ years of experience in machine learning engineering, preferably in the ads or digital marketing space
- Proficiency in Python, TensorFlow, and scikit-learn
- Experience with large-scale machine learning systems and data pipelines
- Strong understanding of machine learning algorithms and statistical modeling
- Experience with data visualization tools and techniques
- Strong collaboration and communication skills
- Experience working with cross-functional teams, including data science, engineering, and product
- Strong understanding of ads measurement and privacy compliance
- Experience with cloud-based technologies, such as AWS or GCP
Nice to Have
- Experience with natural language processing and computer vision
- Familiarity with deep learning frameworks, such as PyTorch or Keras
- Experience with containerization using Docker
- Experience with agile development methodologies and version control systems, such as Git
Benefits and Perks
- Competitive salary and equity package
- Flexible work arrangements, including remote work options
- Comprehensive health, dental, and vision insurance
- 401(k) matching program
- Generous paid time off and holiday policy
- Professional development opportunities, including conferences and training
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Opportunities for career growth and advancement
- Flexible stipend for remote work setup and expenses
How to Stand Out
- Tailor your resume and cover letter to highlight your machine learning engineering experience, particularly in the ads or digital marketing space.
- Prepare to showcase your expertise in machine learning, ads measurement, and privacy compliance during the interview process.
- Develop a strong understanding of Reddit's ad platform and its unique challenges and opportunities.
- Be prepared to discuss your experience with large-scale machine learning systems and data pipelines.
- Showcase your ability to collaborate with cross-functional teams, including data science, engineering, and product.
- Highlight your experience with cloud-based technologies, such as AWS or GCP, and containerization using Docker.
- Demonstrate your passion for machine learning and ads measurement, and your enthusiasm for working in a fast-paced and dynamic environment.
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